963 boosters for "ci" — open source, verified from GitHub, ready to install
A meta-guide that helps users create or update specialized skills to extend Codex's capabilities with domain-specific knowledge and workflows. Developers and AI agents building custom extensions benefit from this structured approach to skill development.
Analyzes git repositories to map security ownership, identify bus factors, and detect orphaned sensitive code, exporting results for graph visualization. Essential for security teams and DevOps engineers managing code risk and maintainer dependencies.
Debugs and fixes failing GitHub Actions PR checks by inspecting logs and proposing solutions with explicit approval gates. Developers using GitHub Actions in CI/CD pipelines benefit from faster troubleshooting and fixes.
Automates the conversion of conversations and decisions into organized Notion wiki entries, how-tos, and FAQs with proper linking. Ideal for teams wanting to systematize knowledge capture and avoid losing context from chats and notes.
Provides language-specific security best-practice reviews and improvement suggestions for Python, JavaScript/TypeScript, and Go code. Developers building secure applications benefit from automated security guidance tailored to their framework and language.
This skill helps you generate custom design system rules tailored to your project's specific needs. These rules guide AI coding agents to produce consistent, high-quality code when implementing Figma designs, ensuring that your team's conventions, component patterns, and architectural decisions are
This booster helps developers build, review, and architect ASP.NET Core web applications by providing guidance aligned with current Microsoft best practices. It's essential for teams working with Blazor, Razor Pages, APIs, and other ASP.NET Core patterns.
Build professional-grade design systems in Figma that match code. This skill orchestrates multi-phase workflows across 20–100+ calls, enforcing quality patterns from real-world design systems (Material 3, Polaris, Figma UI3, Simple DS). Every design system build follows this phase order. Skipping o
Generates repository-grounded threat models that identify trust boundaries, assets, attack paths, and mitigations in application code. Ideal for security engineers and developers performing AppSec threat modeling on specific codebases.
This booster enables OS-level desktop and window screenshot capture when users explicitly request it or when tool-specific capabilities are unavailable. Developers and AI assistants benefit from having a fallback capture mechanism for debugging, documentation, and UI inspection tasks.
A skill for bootstrapping, developing, and designing modern WinUI 3 desktop applications with C# using Microsoft's official guidance and patterns. Useful for Windows developers building new apps or troubleshooting WinUI-related setup and implementation challenges.
Provides developers with authoritative, up-to-date OpenAI API documentation and guidance by prioritizing official MCP tools for questions about building with OpenAI products. Ideal for developers integrating OpenAI APIs who need reliable, cited references.
Automates the complete GitHub workflow (stage, commit, push, PR) via GitHub CLI in a single flow with consistent naming conventions. Developers who frequently create pull requests benefit from reduced repetitive command execution.
<a href="https://github.com/VoltAgent/voltagent"> <img width="1500" height="500" alt="Group 32" src="https://github.com/user-attachments/assets/55b97c47-8506-4be0-b18f-f5384d063cbb" /> <div align="center">
Methodology and best practices for account reconciliation, including GL-to-subledger, bank reconciliations, and intercompany. Covers reconciling item categorization, aging analysis, and escalation. Compare the general ledger control account balance to the detailed subledger balance. 1. Pull GL balan
Plugins that turn Claude into a specialist for your role, team, and company. Built for Claude Cowork, also compatible with Claude Code. Cowork lets you set the goal and Claude delivers finished, professional work. Plugins let you go further: tell Claude how you like work done, which tools and data t
A comprehensive collection of 1000+ production-ready agentic skills for Claude and related AI coding platforms, enabling developers to rapidly build autonomous multi-agent systems with specialized, battle-tested capabilities.
This booster equips AI coding assistants with specialized guidance for reading, creating, and editing Word documents programmatically while maintaining formatting and layout fidelity. Developers working with `.docx` files—especially those requiring professional formatting, tables, or visual validation—will find this booster invaluable.
Promptfoo is an LLM evaluation and testing toolkit that helps developers systematically test, benchmark, and validate prompt performance across different models and scenarios. It's essential for teams building LLM applications who need rigorous quality assurance and prompt optimization.
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Polish is a final quality assurance skill that refines UI/UX details like alignment, spacing, and consistency before deployment. It's useful for developers and designers who want to elevate finished features from good to production-ready.
"name": "baoyu-skills", "name": "Jim Liu (宝玉)", "email": "junminliu@gmail.com"
Fast, calibration-free weight quantization supporting 8/4/3/2/1-bit precision with multiple optimized backends. HQQ uses to define quantization parameters: The core quantized layer that replaces :
Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the command line tool. Model and Dataset cards can be accessed from repos
